Brian A. Telfer

1.3k total citations
63 papers, 805 citations indexed

About

Brian A. Telfer is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brian A. Telfer has authored 63 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Biomedical Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brian A. Telfer's work include Neural Networks and Applications (18 papers), Image and Signal Denoising Methods (8 papers) and Neural Networks and Reservoir Computing (6 papers). Brian A. Telfer is often cited by papers focused on Neural Networks and Applications (18 papers), Image and Signal Denoising Methods (8 papers) and Neural Networks and Reservoir Computing (6 papers). Brian A. Telfer collaborates with scholars based in United States and Canada. Brian A. Telfer's co-authors include Laura J. Brattain, Harold Szu, Anthony E. Samir, Joseph R. Grajo, Manish Dhyani, David Casasent, Andrew S. Liteplo, Vicki E. Noble, Chad W. Farris and Arjun Majumdar and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and British Journal of Sports Medicine.

In The Last Decade

Brian A. Telfer

58 papers receiving 779 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian A. Telfer United States 16 243 169 164 136 90 63 805
Amir Khan United States 14 110 0.5× 215 1.3× 166 1.0× 213 1.6× 72 0.8× 51 992
William J. Ohley United States 14 135 0.6× 179 1.1× 221 1.3× 194 1.4× 23 0.3× 42 990
Laura J. Brattain United States 12 100 0.4× 177 1.0× 58 0.4× 161 1.2× 77 0.9× 46 558
Akhil Vaid United States 16 286 1.2× 202 1.2× 203 1.2× 72 0.5× 110 1.2× 48 1.2k
Shan Yang Switzerland 12 151 0.6× 466 2.8× 331 2.0× 227 1.7× 36 0.4× 43 1.1k
Michael R. Anderson United States 16 259 1.1× 60 0.4× 190 1.2× 78 0.6× 114 1.3× 46 1.2k
Evangelos B. Mazomenos United Kingdom 18 148 0.6× 207 1.2× 195 1.2× 375 2.8× 41 0.5× 68 1.1k
Seiji Ishikawa Japan 19 163 0.7× 155 0.9× 822 5.0× 283 2.1× 30 0.3× 239 1.7k
Jared Dunnmon United States 14 282 1.2× 284 1.7× 67 0.4× 150 1.1× 62 0.7× 23 908
Franç̧oise Prêteux France 13 27 0.1× 128 0.8× 199 1.2× 88 0.6× 73 0.8× 58 930

Countries citing papers authored by Brian A. Telfer

Since Specialization
Citations

This map shows the geographic impact of Brian A. Telfer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Brian A. Telfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian A. Telfer more than expected).

Fields of papers citing papers by Brian A. Telfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Telfer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Brian A. Telfer. The network helps show where Brian A. Telfer may publish in the future.

Co-authorship network of co-authors of Brian A. Telfer

This figure shows the co-authorship network connecting the top 25 collaborators of Brian A. Telfer. A scholar is included among the top collaborators of Brian A. Telfer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian A. Telfer. Brian A. Telfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Williamson, James R., et al.. (2025). Estimating Visceral Adiposity From Wrist-Worn Accelerometry. IEEE Journal of Biomedical and Health Informatics. 30(1). 149–161.
2.
Sel, Kaan, Laura J. Brattain, Jin‐Oh Hahn, et al.. (2024). Building Digital Twins for Cardiovascular Health: From Principles to Clinical Impact. Journal of the American Heart Association. 13(19). e031981–e031981. 30 indexed citations
3.
Schoen, Scott, Mark P. Ottensmeyer, Theodore T. Pierce, et al.. (2024). Microbubble Contrast Agents Improve Detection of Active Hemorrhage. IEEE Open Journal of Engineering in Medicine and Biology. 5. 877–884. 1 indexed citations
4.
Telfer, Brian A., et al.. (2022). Noninvasive Monitoring of Simulated Hemorrhage and Whole Blood Resuscitation. Biosensors. 12(12). 1168–1168. 9 indexed citations
5.
Buller, Mark J., Rebecca E. Fellin, Beth A. Beidleman, et al.. (2022). Gait instability and estimated core temperature predict exertional heat stroke. British Journal of Sports Medicine. 56(8). 446–451. 19 indexed citations
6.
Brattain, Laura J., Theodore T. Pierce, Lars Gjesteby, et al.. (2021). AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access. Biosensors. 11(12). 522–522. 37 indexed citations
7.
Brattain, Laura J., Arinc Ozturk, Brian A. Telfer, et al.. (2020). Image Processing Pipeline for Liver Fibrosis Classification Using Ultrasound Shear Wave Elastography. Ultrasound in Medicine & Biology. 46(10). 2667–2676. 14 indexed citations
8.
Telfer, Brian A., et al.. (2019). Predicting Influenza A Tropism with End-to-End Learning of Deep Networks. Health Security. 17(6). 468–476. 11 indexed citations
9.
Xu, Hong, et al.. (2019). Deep Learning-Based Automatic Endometrium Segmentation and Thickness Measurement for 2D Transvaginal Ultrasound. PubMed. 2019. 993–997. 11 indexed citations
10.
Majumdar, Arjun, Laura J. Brattain, Brian A. Telfer, Chad W. Farris, & Jonathan Scalera. (2018). Detecting Intracranial Hemorrhage with Deep Learning. PubMed. 2018. 583–587. 60 indexed citations
11.
Brattain, Laura J., Brian A. Telfer, Manish Dhyani, Joseph R. Grajo, & Anthony E. Samir. (2018). Machine learning for medical ultrasound: status, methods, and future opportunities. Abdominal Radiology. 43(4). 786–799. 176 indexed citations
12.
Palmer, Jeffrey S., James Williamson, Brian A. Telfer, & William J. Tharion. (2017). Estimating thermal-work strain and physical fatigue from a wearable physiological status monitor. Journal of science and medicine in sport. 20. S46–S46. 3 indexed citations
13.
Brattain, Laura J., Brian A. Telfer, Andrew S. Liteplo, & Vicki E. Noble. (2013). Automated B‐Line Scoring on Thoracic Sonography. Journal of Ultrasound in Medicine. 32(12). 2185–2190. 57 indexed citations
14.
Szu, Harold, et al.. (1995). <title>Fingerprint data acquisition, desmearing, wavelet feature extraction, and identification</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2491. 96–118. 1 indexed citations
15.
Telfer, Brian A., et al.. (1994). Composite wavelet features for image recognition. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2242. 936–936. 1 indexed citations
16.
Telfer, Brian A.. (1994). Adaptive wavelet classification of acoustic backscatter and imagery. Optical Engineering. 33(7). 2192–2192. 21 indexed citations
17.
Telfer, Brian A., et al.. (1993). <title>Detecting blobs in multispectral electro-optical imagery using wavelet techniques</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1961. 377–385. 5 indexed citations
18.
Telfer, Brian A. & David Casasent. (1993). Minimum-cost associative processor for piecewise-hyperspherical classification. Neural Networks. 6(8). 1117–1130. 6 indexed citations
19.
Casasent, David & Brian A. Telfer. (1988). Optical Associative Processors For Visual Perception". Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 882. 47–47. 3 indexed citations
20.
Casasent, David & Brian A. Telfer. (1986). Distortion-Invariant Associative Memories And Processors. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 697. 60–60. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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